AIMC Topic: Body Fluids
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Standardizing a microbiome pipeline for body fluid identification from complex crime scene stains.
Applied and environmental microbiology
Apr 30, 2025
Recent advances in next-generation sequencing have opened up new possibilities for applying the human microbiome in various fields, including forensics. Researchers have capitalized on the site-specific microbial communities found in different parts ...
Investigating handheld near-infrared spectroscopy for forensic body fluid analysis.
Science & justice : journal of the Forensic Science Society
Apr 20, 2025
Forensic casework and crime scene examination will often involve the identification and analysis of biological evidence found on a wide variety of surfaces. One type of biological evidence most commonly encountered at the crime scene is body fluids, ...
Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids.
mSystems
Dec 10, 2024
UNLABELLED: Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth of specific bacteria in the vagina. This study aims to develop a novel method for BV detection by integrating surface-enhanced Raman scattering (SERS...
A multi-class support vector machine classification model based on 14 microRNAs for forensic body fluid identification.
Forensic science international. Genetics
Nov 21, 2024
MicroRNAs (miRNAs) are promising biomarkers for forensic body fluid identification owing to their small size, stability against degradation, and differential expression patterns. However, the expression of most body fluid-miRNAs is relative (differen...
Bacterial profile-based body fluid identification using a machine learning approach.
Genes & genomics
Nov 6, 2024
BACKGROUND: Identifying the origins of biological traces is critical for the reconstruction of crime scenes in forensic investigations. Traditional methods for body fluid identification rely on chemical, enzymatic, immunological, and spectroscopic te...
Developing an interpretation model for body fluid identification.
Forensic science international
Apr 22, 2024
Criminal investigations, particularly sexual assaults, frequently require the identification of body fluid type in addition to body fluid donor to provide context. In most cases this can be achieved by conventional methods, however, in certain scenar...
Comparison of Sysmex XN-V body fluid mode and deep-learning-based quantification with manual techniques for total nucleated cell count and differential count for equine bronchoalveolar lavage samples.
BMC veterinary research
Feb 5, 2024
BACKGROUND: Bronchoalveolar lavage (BAL) is a diagnostic method for the assessment of the lower respiratory airway health status in horses. Differential cell count and sometimes also total nucleated cell count (TNCC) are routinely measured by time-co...
Exhaled breath signal analysis for diabetes detection: an optimized deep learning approach.
Computer methods in biomechanics and biomedical engineering
Dec 7, 2023
In this study, a flexible deep learning system for breath analysis is created using an optimal hybrid deep learning model. To improve the quality of the gathered breath signals, the raw data are first pre-processed. Then, the most relevant features l...
A Novel Prediction Method of Transfer-Assisted Action Oriented to Individual Differences for the Excretion Care Robot.
Sensors (Basel, Switzerland)
Dec 7, 2023
The excretion care robot's (ECR) accurate recognition of transfer-assisted actions is crucial during its usage. However, transfer action recognition is a challenging task, especially since the differentiation of actions seriously affects its recognit...
Rapid diagnosis of membranous nephropathy based on serum and urine Raman spectroscopy combined with deep learning methods.
Scientific reports
Feb 28, 2023
Membranous nephropathy is the main cause of nephrotic syndrome, which has an insidious onset and may progress to end-stage renal disease with a high mortality rate, such as renal failure and uremia. At present, the diagnosis of membranous nephropathy...
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